An improved canny edge detection algorithm based on predisposal method for image corrupted by gaussian noise

The traditional Canny edge detection operator was a good tool for detecting image edges, but it was too sensitive to noise, and under the environment with noise, the Canny operator was too easy to detect edges mistakenly. Thus, an improved Canny edge detection algorithm based on predisposal method was presented in this paper to solve this problem, through gray value distance judgment and edge points´ correlation coefficient comparison: two predisposal steps with the Canny operator processing, better edge images were got by the proposed method. The result showed that the proposed method was much more reliable under the corruption of Gaussian noise environment.